A5075747522- Climate variability and models
- Meteorological Phenomena and Simulations
- Cryospheric studies and observations
- Oceanographic and Atmospheric Processes
- Atmospheric and Environmental Gas Dynamics
- Solar and Space Plasma Dynamics
- Stellar, planetary, and galactic studies
- Astro and Planetary Science
- Climate change and permafrost
Ouranos
2024-2025
McGill University
2020-2022
xclim is a Python library that enables computation of climate indicators over large, heterogeneous data sets.It built using xarray objects and operations, can seamlessly benefit from the parallelization handling provided by dask, relies on community conventions for formatting metadata attributes.xclim meant as tool to facilitate both science research delivery operational services products.In addition indicator calculations, also includes utilities bias correction statistical adjustment,...
Synchronously orbiting, tidally-locked exoplanets with a dayside facing their star and permanently dark nightside orbiting dim stars are prime candidates for habitability. Simulations of these planets often show the potential to maintain an Earth-like climate complete hydrological cycle. Here, we examine sensitivity atmospheric water cycle changes in stellar flux describe main underlying mechanisms. In slowly-rotating, model, response small (about 10%) increase irradiance from habitable-zone...
Recent studies have demonstrated that the uncertainty in projections can be reduced by weighting GCMs based on their ability to accurately reproduce historical climate conditions specific geographical regions. This study aims reduce of annual maximum snow amount from obtained most recent iteration Coupled Model Intercomparison Project Phase 6 (CMIP6). To do so, we implement a three-phase approach order adapt Climate model Weighting Independence and Performance (ClimWIP) algorithm main...
A novel runtime empirical bias correction (EBC) has recently been developed and applied to enhance the Canadian Center for Climate Modelling Analysis' (CCCma) global earth system model CanESM, demonstrating significant improvements in future climate projections, particularly under strong change scenarios. The application of EBC CanESM provides enhanced driving data dynamical downscaling through regional models (RCMs). This project aims assess impact improved on two RCMs, namely CanRCM5 CRCM5...
Hydroclimatic extremes, such as heavy daily rainfall and dry spells, are expected to intensify under anthropogenic warming. Often, these changes diagnostically related thermodynamic increases in humidity with Here, we develop a framework that uses an on-line calculation of the thermodynamically induced full precipitation distribution warming idealized moist atmospheric general circulation model. Two water vapor variables, standard active one additional passive (i.e., no latent heat release...
Abstract Hydroclimatic extremes, such as heavy daily rainfall and dry spells, are expected to intensify under anthropogenic warming. Often, these changes diagnostically related thermodynamic increases in humidity with Here, we develop a framework that uses an online calculation of the thermodynamically induced full precipitation distribution warming idealized moist atmospheric general circulation model. Two water vapor variables, standard active one additional passive (i.e., no latent heat...